Literature DB >> 27193750

Benefit-risk Evaluation for Diagnostics: A Framework (BED-FRAME).

Scott R Evans1, Gene Pennello2, Norberto Pantoja-Galicia2, Hongyu Jiang3, Andrea M Hujer4, Kristine M Hujer4, Claudia Manca5, Carol Hill6, Michael R Jacobs4, Liang Chen5, Robin Patel7, Barry N Kreiswirth5, Robert A Bonomo4.   

Abstract

The medical community needs systematic and pragmatic approaches for evaluating the benefit-risk trade-offs of diagnostics that assist in medical decision making. Benefit-Risk Evaluation of Diagnostics: A Framework (BED-FRAME) is a strategy for pragmatic evaluation of diagnostics designed to supplement traditional approaches. BED-FRAME evaluates diagnostic yield and addresses 2 key issues: (1) that diagnostic yield depends on prevalence, and (2) that different diagnostic errors carry different clinical consequences. As such, evaluating and comparing diagnostics depends on prevalence and the relative importance of potential errors. BED-FRAME provides a tool for communicating the expected clinical impact of diagnostic application and the expected trade-offs of diagnostic alternatives. BED-FRAME is a useful fundamental supplement to the standard analysis of diagnostic studies that will aid in clinical decision making.
© The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.

Keywords:  benefit-risk; diagnostic yield; diagnostics; pragmatism

Mesh:

Substances:

Year:  2016        PMID: 27193750      PMCID: PMC4996133          DOI: 10.1093/cid/ciw329

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  10 in total

1.  Combining several screening tests: optimality of the risk score.

Authors:  Martin W McIntosh; Margaret Sullivan Pepe
Journal:  Biometrics       Date:  2002-09       Impact factor: 2.571

2.  On criteria for evaluating models of absolute risk.

Authors:  Mitchell H Gail; Ruth M Pfeiffer
Journal:  Biostatistics       Date:  2005-04       Impact factor: 5.899

3.  Three measures for simultaneously evaluating benefits and risks using categorical data from clinical trials.

Authors:  C Chuang-Stein; N R Mohberg; M S Sinkula
Journal:  Stat Med       Date:  1991-09       Impact factor: 2.373

4.  Putting risk prediction in perspective: relative utility curves.

Authors:  Stuart G Baker
Journal:  J Natl Cancer Inst       Date:  2009-10-20       Impact factor: 13.506

5.  Regression analysis based on pairwise ordering of patients' clinical histories.

Authors:  Dean A Follmann
Journal:  Stat Med       Date:  2002-11-30       Impact factor: 2.373

6.  Rapid Molecular Diagnostics, Antibiotic Treatment Decisions, and Developing Approaches to Inform Empiric Therapy: PRIMERS I and II.

Authors:  Scott R Evans; Andrea M Hujer; Hongyu Jiang; Kristine M Hujer; Thomas Hall; Christine Marzan; Michael R Jacobs; Rangarajan Sampath; David J Ecker; Claudia Manca; Kalyan Chavda; Pan Zhang; Helen Fernandez; Liang Chen; Jose R Mediavilla; Carol B Hill; Federico Perez; Angela M Caliendo; Vance G Fowler; Henry F Chambers; Barry N Kreiswirth; Robert A Bonomo
Journal:  Clin Infect Dis       Date:  2015-09-25       Impact factor: 9.079

7.  The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities.

Authors:  Stuart J Pocock; Cono A Ariti; Timothy J Collier; Duolao Wang
Journal:  Eur Heart J       Date:  2011-09-06       Impact factor: 29.983

8.  Desirability of Outcome Ranking (DOOR) and Response Adjusted for Duration of Antibiotic Risk (RADAR).

Authors:  Scott R Evans; Daniel Rubin; Dean Follmann; Gene Pennello; W Charles Huskins; John H Powers; David Schoenfeld; Christy Chuang-Stein; Sara E Cosgrove; Vance G Fowler; Ebbing Lautenbach; Henry F Chambers
Journal:  Clin Infect Dis       Date:  2015-06-25       Impact factor: 9.079

9.  Decision curve analysis: a novel method for evaluating prediction models.

Authors:  Andrew J Vickers; Elena B Elkin
Journal:  Med Decis Making       Date:  2006 Nov-Dec       Impact factor: 2.583

10.  A quality-of-life-oriented endpoint for comparing therapies.

Authors:  R D Gelber; R S Gelman; A Goldhirsch
Journal:  Biometrics       Date:  1989-09       Impact factor: 2.571

  10 in total
  9 in total

1.  Average Weighted Accuracy: Pragmatic Analysis for a Rapid Diagnostics in Categorizing Acute Lung Infections (RADICAL) Study.

Authors:  Ying Liu; Ephraim L Tsalik; Yunyun Jiang; Emily R Ko; Christopher W Woods; Ricardo Henao; Scott R Evans
Journal:  Clin Infect Dis       Date:  2020-06-10       Impact factor: 9.079

Review 2.  Advancing Diagnostics to Address Antibacterial Resistance: The Diagnostics and Devices Committee of the Antibacterial Resistance Leadership Group.

Authors:  Ephraim L Tsalik; Elizabeth Petzold; Barry N Kreiswirth; Robert A Bonomo; Ritu Banerjee; Ebbing Lautenbach; Scott R Evans; Kimberly E Hanson; Jeffrey D Klausner; Robin Patel
Journal:  Clin Infect Dis       Date:  2017-03-15       Impact factor: 9.079

3.  MASTERMIND: Bringing Microbial Diagnostics to the Clinic.

Authors:  Robin Patel; Ephraim L Tsalik; Elizabeth Petzold; Vance G Fowler; Jeffrey D Klausner; Scott Evans
Journal:  Clin Infect Dis       Date:  2016-12-07       Impact factor: 9.079

4.  Rapid Molecular Diagnostics to Inform Empiric Use of Ceftazidime/Avibactam and Ceftolozane/Tazobactam Against Pseudomonas aeruginosa: PRIMERS IV.

Authors:  Scott R Evans; Thuy Tien T Tran; Andrea M Hujer; Carol B Hill; Kristine M Hujer; Jose R Mediavilla; Claudia Manca; T Nicholas Domitrovic; Federico Perez; Michael Farmer; Kelsey M Pitzer; Brigid M Wilson; Barry N Kreiswirth; Robin Patel; Michael R Jacobs; Liang Chen; Vance G Fowler; Henry F Chambers; Robert A Bonomo
Journal:  Clin Infect Dis       Date:  2019-05-17       Impact factor: 9.079

5.  Fundamentals and Catalytic Innovation: The Statistical and Data Management Center of the Antibacterial Resistance Leadership Group.

Authors:  Jacqueline Huvane; Lauren Komarow; Carol Hill; Thuy Tien T Tran; Carol Pereira; Susan L Rosenkranz; Matt Finnemeyer; Michelle Earley; Hongyu Jeanne Jiang; Rui Wang; Judith Lok; Scott R Evans
Journal:  Clin Infect Dis       Date:  2017-03-15       Impact factor: 9.079

6.  A Statistical Review: Why Average Weighted Accuracy, not Accuracy or AUC?

Authors:  Yunyun Jiang; Qing Pan; Ying Liu; Scott Evans
Journal:  Biostat Epidemiol       Date:  2021-09-27

7.  Comparing diagnostic tests on benefit-risk.

Authors:  Gene Pennello; Norberto Pantoja-Galicia; Scott Evans
Journal:  J Biopharm Stat       Date:  2016-08-22       Impact factor: 1.051

8.  Win Ratio -An Intuitive and Easy-To-Interpret Composite Outcome in Medical Studies.

Authors:  Hongyue Wang; Jing Peng; Juila Z Zheng; Bokai Wang; Xiang Lu; Chongshu Chen; Xin M Tu; Changyong Feng
Journal:  Shanghai Arch Psychiatry       Date:  2017-02-25

9.  Diagnostic Performance of a Molecular Test versus Clinician Assessment of Vaginitis.

Authors:  Jane R Schwebke; Charlotte A Gaydos; Paul Nyirjesy; Sonia Paradis; Salma Kodsi; Charles K Cooper
Journal:  J Clin Microbiol       Date:  2018-05-25       Impact factor: 5.948

  9 in total

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